scispace - formally typeset
Open Access

Genome of Tetranychus urticae reveals herbivorous pest adaptations

TLDR
The completely sequenced and annotated spider mite genome is presented, representing the first complete chelicerate genome, and finds strong signatures of polyphagy and detoxification in gene families associated with feeding on different hosts and in new gene families acquired by lateral gene transfer.
Abstract
The spider mite Tetranychus urticae is a cosmopolitan agricultural pest with an extensive host plant range and an extreme record of pesticide resistance. Here we present the completely sequenced and annotated spider mite genome, representing the first complete chelicerate genome. At 90 megabases T. urticae has the smallest sequenced arthropod genome. Compared with other arthropods, the spider mite genome shows unique changes in the hormonal environment and organization of the Hox complex, and also reveals evolutionary innovation of silk production. We find strong signatures of polyphagy and detoxification in gene families associated with feeding on different hosts and in new gene families acquired by lateral gene transfer. Deep transcriptome analysis of mites feeding on different plants shows how this pest responds to a changing host environment. The T. urticae genome thus offers new insights into arthropod evolution and plant–herbivore interactions, and provides unique opportunities for developing novel plant protection strategies.

read more

Citations
More filters

Research Article 海色リモートセンシング

佐 田中
TL;DR: It is inferred that physical barriers and historical processes played a dominant role in structuring the genetic dispersal of the species and the Grik, Tanjung Rambutan and Sungkai are potential candidates for conservation and aquaculture programmes since they contained most of the total diversity.
Journal ArticleDOI

Pesticide resistance in arthropods: Ecology matters too

TL;DR: An eco‐evolutionary approach is taken and circumstances that may facilitate cross‐resistance in arthropods and the consequences cross-resistance may have for plant–arthropod interactions in both target and non‐target species and species interactions are discussed.
Posted ContentDOI

Diversity and evolution of telomere and subtelomere DNA sequences in insects

Vladimir A. Lukhtanov
- 10 Apr 2022 - 
TL;DR: Different types of telomere organization and numerous variants of long and short T-containing motifs, including the (T)n mononucleotide sequence, are compatible with the performance oftelomere functions.
References
More filters
Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

The neighbor-joining method: a new method for reconstructing phylogenetic trees.

TL;DR: The neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods for reconstructing phylogenetic trees from evolutionary distance data.
Journal ArticleDOI

MUSCLE: multiple sequence alignment with high accuracy and high throughput

TL;DR: MUSCLE is a new computer program for creating multiple alignments of protein sequences that includes fast distance estimation using kmer counting, progressive alignment using a new profile function the authors call the log-expectation score, and refinement using tree-dependent restricted partitioning.
Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0

TL;DR: Version 4 of MEGA software expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses.
Related Papers (5)